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Magnus Egerstedt - UC Irvine. Irvine, CA, US

Magnus Egerstedt

Stacey Nicholas Dean of Engineering | UC Irvine


Magnus Egerstedt is a leading research on control theory, complex networks and robotics.



Magnus Egerstedt Publication Magnus Egerstedt Publication Magnus Egerstedt Publication



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RI Seminar: Magnus Egerstedt : Long Duration Autonomy for Persistent Environmental Monitoring Magnus Egerstedt: Long Duration Autonomy with Applications to Persistent Environmental Monitoring Fall 2020 LIDS Seminar — Magnus Egerstedt (Georgia Institute of Technology) Swarm robotics -- from local rules to global behaviors | Magnus Egerstedt | TEDxEmory


Robohub Podcast - Robotarium: A Robotics Lab Accessible to All, with Magnus Egerstedt UCI Dean of Engineering Magnus Egerstedt discusses his new book on robots in the wild



Egerstedt’s research pursuits center on control theory and robotics. His work has resulted in innovations in remote environmental monitoring and precision agriculture, and he has worked extensively on the control and coordination of complex networks, such as multirobot systems, mobile sensor networks and cyber-physical systems. He led the creation of the Robotarium, a remotely accessible swarm robotics lab used by thousands of researchers around the world. He also helped develop SlothBot, a hyper-energy-efficient environmental monitoring robot. Egerstedt is a fellow of the Institute of Electrical and Electronics Engineers and the International Federation of Automatic Control as well as a member of the Royal Swedish Academy of Engineering Sciences.

Areas of Expertise (6)

Multi-system robots

Mobile Sensor Networks

Complex networks (e.g., optimization and control, resource sharing, dimension reduction)

Control Theory


Cyber-Physical Systems

Accomplishments (5)

O. Hugo Schuck Best Paper Award (professional)

2019 American Control Conference

Distinguished Faculty Achievement Award (professional)

2018 Georgia Institute of Technology, School of Electrical and Computer Engineering

Creating the Next Award for Innovation and Impact in Robotics (professional)

2017 Georgia Tech Research Corporation

Distinguished Mercer Lecturer (professional)

2016 RPI, Rochester, NY

Best Multi-Robot Systems Paper Award (professional)

2017 IEEE International Conference on Robotics and Automation

Education (3)

Royal Institute of Technology: Ph.D., Applied Mathematics 2000

Royal Institute of Technology: M.S., Engineering Physics 1996

Stockholm University: B.A., Philosophy and Linguistics 1996

Affiliations (3)

  • IEEE (Control Systems and Robotics & Automation Societies) : Fellow
  • International Federation of Automatic Control (IFAC) : Fellow
  • IEEE Control Systems Society : Vice President for Member Activities

Media Appearances (5)

National Academy of Engineers names two UCI professors as new members

UCI News  online


Magnus Egerstedt, the Stacey Nicholas Dean of Engineering, said, “With the election of these two faculty members, the UCI Samueli School is now home to 16 National Academy of Engineering members. It is a true testament of the research expertise and impact of our professors’ dedication to solving problems that benefit society.”

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From Sloths to the Soul of UCI

UCI News  online


On a vacation with my family in Costa Rica a few years ago, I became fascinated with sloths – not because they were cute and cuddly but because I simply could not understand how such slow (and potentially quite tasty) animals could exist in an environment populated by jaguars and eagles. Their leisurely, low-energy lifestyle is somehow a viable survival strategy shared by pretty much all arboreal folivores (tree-dwelling leaf eaters) due to the dueling requirements of being big enough to break down and digest the complicated leaves, yet small enough to reside successfully among the treetops.

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What We Are Reading Today: Robot Ecology by Magnus Egerstedt

ARAB NEWS  online


Robots are increasingly leaving the confines of laboratories, warehouses, and manufacturing facilities, venturing into agriculture and other settings where they must operate in uncertain conditions over long timescales.

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A Year, Alone, In the Trees

Georgia Institute of Technology  online


SlothBot, a robot that monitors pollution, temperature and other environmental conditions, survives for 13 months in the tree canopy of the Atlanta Botanical Garden. Magnus Egerstedt thought his robot would survive a few months. That was the goal when he and his team of Georgia Tech College of Engineering students installed their three-foot SlothBot in the Atlanta Botanical Garden’s tree canopy in May of last year.

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‘SlothBot in the Garden’ Demonstrates Hyper-Efficient Conservation Robot

Georgia Tech News Centre  online


For the next several months, visitors to the Atlanta Botanical Garden will be able to observe the testing of a new high-tech tool in the battle to save some of the world’s most endangered species. SlothBot, a slow-moving and energy-efficient robot that can linger in the trees to monitor animals, plants, and the environment below, will be tested near the Garden’s popular Canopy Walk.

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Event Appearances (5)

“Forward Invariance in Robotics: From Coordinated Multi-Robot Systems to Safe Learning”

IEEE International Conference on Cybernetics and Intelligent Systems  Bangkok, Thailand


“Long Duration Autonomy And Constraint-Based Coordination of Multi-Robot Systems”

International Symposium on Nonlinear Dynamics and Control  Shenyang, China


“Long Duration Autonomy And Constraint-Based Coordination of Multi-Robot Systems”

ASME Dynamic Systems and Control Conference  Atlanta, GA


“Long Duration Autonomy And Constraint-Based Coordination of Multi-Robot Systems”

Swedish Automatic Control Meeting  Stockholm, Sweden


“Coordinated Control of Multi-Robot Systems for Persistent Environmental Monitoring”

Séminaire Fédération Charles Hermite,  University of Lorraine, Nancy, France


Patents (1)

Wire-Traversing Robot and Method of Operation



An exemplary embodiment of the present disclosure provides a robot comprising a body, a processor, and a memory. The memory further comprising instructions that, when executed by the processor cause the body to engage a first wire to support the robot from the first wire, traverse the first wire, engage a second wire simultaneously while engaging the first wire, the second wire branching from the first wire, then after engaging the second wire, disengage the first wire and traverse the second wire.

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Articles (5)

Composition of Safety Constraints for Fixed-Wing Collision Avoidance Amidst Limited Communications

Journal of Guidance, Control, and Dynamics

2022 This paper considers how to ensure that a system of fixed-wing unmanned aerial vehicles (UAVs) can avoid collisions. To do so, a novel method is developed for creating a barrier function, which is similar to a Lyapunov function and can be used to ensure that a system can stay safe for all future times. After introducing the general approach, it is shown how to ensure that collision avoidance for two vehicles can be guaranteed for all future times.

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Coverage Control of Mobile Robots With Different Maximum Speeds for Time-Sensitive Applications

IEEE Robotics and Automation Letters

2022 This letter presents a coverage control algorithm for robots with different maximum speeds to effectively cover an area in terms of time of travel. In order to utilize the different speeds of the robots, the region of dominance of a robot is approximated by the set of points where the robot can arrive faster than any other robots in the team by cruising at its maximum speed.

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Collective Motion Planning for a Group of Robots Using Intermittent Diffusion

Journal of Scientific Computing

2022 In this work we establish a simple yet effective strategy, based on intermittent diffusion, for enabling a group of robots to accomplish complex tasks, shape formation and assembly. We demonstrate the feasibility of this approach and rigorously prove collision avoidance and convergence properties of the proposed algorithms.

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Data-Driven Robust Barrier Functions for Safe, Long-Term Operation

IEEE Transactions on Robotics

2021 Applications that require multirobot systems to operate independently for extended periods of time in unknown or unstructured environments face a broad set of challenges, such as hardware degradation, changing weather patterns, or unfamiliar terrain. To operate effectively under these changing conditions, algorithms developed for long-term autonomy applications require a stronger focus on robustness.

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Resilient Monitoring in Heterogeneous Multi-Robot Systems Through Network Reconfiguration

IEEE Transactions on Robotics

2021 We propose a framework for resilience in a networked heterogeneous multirobot team subject to resource failures. Each robot in the team is equipped with resources that it shares with its neighbors, which are identified based on the team’s communication graph. Additionally, each robot in the team executes a task, whose performance depends on the resources to which it has access.

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